Artificial Intelligence

Researchers tackle the antibiotic resistance crisis with explainable neural networks and high throughput drug discovery.

Douglas Blackiston’s frog-fueled research seeks to push the boundaries of understanding developing organisms.

Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.

Grace Lindsay explains machine learning and describes how artificial neural networks mimic the architecture of brain neurons to learn from and process data.

A new approach to precision medicine efficiently and accurately associates disease biomarkers with clinical evidence. 

With deep learning methods revolutionizing life sciences, researchers bet on de novo proteins and cell mapping models to deliver customized precision medicines.

Automated analysis minimizes error risk, analysis time, and technician variation.

New technologies and archival tissue biopsy samples enable exploration of changes in the bone marrow as people age.

Properly optimizing data enhances AI training for accelerating novel biopharmaceutical discoveries. 

Researchers found new mechanisms and drug targets for cystinosis.

Researchers honed prediction models and datasets to unlock the potential of deep neural networks in biological applications while avoiding bias.

Good data management is the first step toward improving scientific outcomes with artificial intelligence and machine learning.

Researchers created a model that uses clinical testing data to locate the primary site of cancer cells with no known origin, likely improving survival.

Researchers integrate scRNA-seq, spatial transcriptomics, and histology imaging data to show that spatial cellular architecture predicts glioblastoma prognosis.

From the advent of optical microscopes to today, light microscopy methods have been central to life science discoveries across disciplines.

John Jumper and Demis Hassabis received this year’s 2023 Albert Lasker Basic Medical Research Award for their work on the artificial intelligence system AlphaFold, which changed the landscape of protein biology. 

Neurobiologists, computer scientists, and engineers join forces to grow mini brains using automation and make their technologies smarter with artificial intelligence.

A renaissance in natural language modeling may help researchers explore how the brain extracts and organizes meaning.

Scientists need streamlined data storage and sharing to automate drug discovery workflows.